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Showing 1 to 15 of 27 results Save | Export
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Richter, Juliane; Lachner, Andreas; Jacob, Leonie; Bilgenroth, Friederike; Scheiter, Katharina – Journal of Computer Assisted Learning, 2022
Background: Engaging students in computer-assisted guided inquiry learning has great potential to scaffold their scientific understanding: Students are expected to improve their scientific problem-solving skills, and at the same time gain a deep conceptual understanding of the subject-matter. Additional generative activities such as creating video…
Descriptors: Self Concept, Problem Solving, Video Technology, Computer Assisted Instruction
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Adelson de Araujo; Pantelis M. Papadopoulos; Susan McKenney; Ton de Jong – Journal of Computer Assisted Learning, 2024
Background: Sustaining productive student-student dialogue in online collaborative inquiry learning is challenging, and teacher support is limited when needed in multiple groups simultaneously. Collaborative conversational agents (CCAs) have been used in the past to support student dialogue. Yet, research is needed to reveal the characteristics…
Descriptors: Learning Analytics, Computer Mediated Communication, Artificial Intelligence, Dialogs (Language)
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Al-Zohbi, Gaydaa; Pilotti, Maura A. E.; Barghout, Kamal; Elmoussa, Omar; Abdelsalam, Hanadi – Journal of Computer Assisted Learning, 2023
Background: Valuable safeguards against fast-spreading conjectures about learning in times of fear and uncertainty are evidence-based approaches to the assessment of the impact of sudden and unforeseen disruptions on learning practices. The present research focused on physics learning in such times because conceptual and computational literacy in…
Descriptors: COVID-19, Pandemics, Physics, Science Education
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Ran Peleg; Orly Lahav; Noha Hagab; Vadim Talis; Sharona T. Levy – Journal of Computer Assisted Learning, 2024
Background: Students who are blind are integrated into public schools in many countries, yet are often excluded from full participation in science since most learning materials are visual. To create a compensatory route, an existing model-based inquiry-learning environment was adapted by means of sonification (addition of non-speech sounds that…
Descriptors: Audiovisual Aids, Blindness, Science Education, Students with Disabilities
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Liu, Caihua; Zowghi, Didar; Kearney, Matthew; Bano, Muneera – Journal of Computer Assisted Learning, 2021
Recent years have seen a growing call for inquiry-based learning in science education, and mobile technologies are perceived as increasingly valuable tools to support this approach. However, there is a lack of understanding of mobile technology-supported inquiry-based learning (mIBL) in secondary science education. More evidence-based, nuanced…
Descriptors: Active Learning, Inquiry, Electronic Learning, Technology Integration
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Sun, Yanyan; Yan, Zhenping; Wu, Bian – Journal of Computer Assisted Learning, 2022
Background: Guidance has showed positive effects on promoting inquiry-based learning in science education. While an increasing number of studies focus on the design of guidance in simulation-based inquiry learning due to recent technology developments, how different designs of a same type of guidance affect learning remains a question. Objectives:…
Descriptors: Guidance, Inquiry, Active Learning, Simulation
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Anne van der Linden; Ralph F. G. Meulenbroeks; Wouter R. van Joolingen – Journal of Computer Assisted Learning, 2024
Background: Research on cognitive effects of educational games in general shows promising results. However, there are large variations in learning outcomes between individual educational games. Research on the design process and different design elements of educational games has led to some interesting directions, but some design aspects remain…
Descriptors: Scientific Principles, Mechanics (Physics), Educational Games, Science Education
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Wen Xin Zhang; John J. H. Lin; Ying-Shao Hsu – Journal of Computer Assisted Learning, 2025
Background Study: Assessing learners' inquiry-based skills is challenging as social, political, and technological dimensions must be considered. The advanced development of artificial intelligence (AI) makes it possible to address these challenges and shape the next generation of science education. Objectives: The present study evaluated the SSI…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Inquiry, Active Learning
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Daniela Olea-Ibarra; Christian Hartmann; Maria Bannert – Journal of Computer Assisted Learning, 2025
Background: Enjoyment and epistemic emotions are essential in education as they drive learners to actively and persistently engage with learning material. Augmented Reality (hereinafter referred to as AR) is an emerging educational tool that offers unique opportunities for immersive learning experiences. By incorporating AR into the learning…
Descriptors: Psychological Patterns, Positive Attitudes, Computer Simulation, Active Learning
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Arici, Faruk; Yilmaz, Mehmet – Journal of Computer Assisted Learning, 2023
Background: Augmented reality (AR) is a widely used technology in science education today. Problem-based learning (PBL) is one of the teaching methods employed in science education for a long time. Studies where AR and PBL are used together are new and rare. PBL and AR technology are used together in the study because it is believed that…
Descriptors: Computer Simulation, Problem Based Learning, Science Education, Educational Technology
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Montrieux, H.; Raes, A.; Schellens, T. – Journal of Computer Assisted Learning, 2017
A quasi-experimental study was set up in secondary education to study the role of teachers while implementing tablet devices in science education. Three different classroom scripts that guided students and teachers' actions during the intervention on two social planes (group and classroom level) are compared. The main goal was to investigate which…
Descriptors: Secondary School Teachers, Quasiexperimental Design, Teacher Role, Handheld Devices
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Tho, S. W.; Yeung, Y. Y. – Journal of Computer Assisted Learning, 2018
This paper reports our classroom implementation of a new remote laboratory (RL) system, which was developed by using innovative ideas and methods for applying technology-enhanced learning to secondary school science education (Grades 7-9 or Ages 12-14). The newly developed RL system, which involves 8 remote experiments, was tested with 32…
Descriptors: Secondary School Science, Science Education, Secondary School Students, Science Laboratories
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Nash, Padraig; Shaffer, David Williamson – Journal of Computer Assisted Learning, 2011
Players of epistemic games--computer games that simulate professional practica--have been shown to develop epistemic frames: a profession's particular way of seeing and solving problems. This study examined the interactions between players and mentors in one epistemic game, Urban Science. Using a new method called epistemic network analysis, we…
Descriptors: Mentors, Network Analysis, Practicums, Problem Solving
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Su, C. Y.; Chiu, C. H.; Wang, T. I. – Journal of Computer Assisted Learning, 2010
This study incorporates the 5E learning cycle strategy to design and develop Sharable Content Object Reference Model-conformant materials for elementary science education. The 5E learning cycle that supports the constructivist approach has been widely applied in science education. The strategy consists of five phases: engagement, exploration,…
Descriptors: Electronic Learning, Constructivism (Learning), Elementary School Science, Learning Processes
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Looi, C.-K.; Zhang, B.; Chen, W.; Seow, P.; Chia, G.; Norris, C.; Soloway, E. – Journal of Computer Assisted Learning, 2011
This paper presents the findings of a research project in which we transformed a primary (grade) 3 science curriculum for delivery via mobile technologies, and a teacher enacted the lessons over the 2009 academic year in a class in a primary school in Singapore. The students had a total of 21 weeks of the mobilized lessons in science, which were…
Descriptors: Foreign Countries, Electronic Learning, Learning Experience, Science Education
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